TSNE different way
tsne is a important method to plot high dimensional figure, and many people
bulid different way to realise it. i will introduce some methods recently use.
- sklearn
sklearn is a very popular package to slove machine learning problem
The disadvantage is that only sinlge kernal can be used.
from sklearn.manifold import TSNE
model = TSNE(n_components=2,init='pca')
node_pos = model.fit_transform(X)
- openTSNE
opentsne can use multi worker to do the job,
https://opentsne.readthedocs.io/en/latest/examples/01/01_simple_usage.html
from openTSNE import TSNE
model = TSNE(n_components=2,init='pca',n_jobs=8,)
node_pos = model.fit(X)
- tsne-cuda
tsne-cuda can use cude to accelerate tsne, but the installation is complex.
https://github.com/CannyLab/tsne-cuda